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Lead Data Engineer

Pay
Pay not listedSimilar roles state $127K–$190K
Work setting
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Employment
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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 2, 20261 day ago
Recorded sightings
3
Last seen by us
Nov 4, 2026

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How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 5 and day 54.

From 10,736 similar postings that came down. Coming down is not always a hire.

The Bank of Nova Scotia P is hiring

49 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • SQL
  • Hadoop
  • Hive
  • Kafka
  • NoSQL
  • PostgreSQL
  • GCP
Where the posting names them
- Expertise knowledge of Hadoop HDFS, Hive, Pig, Flume and Sqoop. - Working Experience with Google Cloud Platform Databases (SQL, Spanner, PostgreSQL) - Experience working with relational/NoSQL databases
- Stakeholder analysis. - Expertise knowledge of Hadoop HDFS, Hive, Pig, Flume and Sqoop. - Working Experience with Google Cloud Platform Databases (SQL, Spanner, PostgreSQL)
- Experience working with relational/NoSQL databases - Experience with data streaming and technologies such as Kafka, Spark-streaming etc. What's in it for you?
- Working Experience with Google Cloud Platform Databases (SQL, Spanner, PostgreSQL) - Experience working with relational/NoSQL databases - Experience with data streaming and technologies such as Kafka, Spark-streaming etc.
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. The Wealth Data engineering team within the Global Wealth Engineering (GWE) is the key team in meeting the operational data needs of the various stake holders within Wealth Management. The Lead Data Analyst will play a key role in designing and implementing business solutions using Google cloud working closely with the enterprise data team and data architects, solution architects, data analyst and data engineers Is this role right for you? In this role you will:

Your next step

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

 

 

 

Requisition ID: 276507 

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

 

 The Wealth Data engineering team within the Global Wealth Engineering (GWE) is the key team in meeting the operational data needs of the various stake holders within Wealth Management. The Lead Data Analyst will play a key role in designing and implementing business solutions using Google cloud working closely with the enterprise data team and data architects, solution architects, data analyst and data engineers

 

Is this role right for you? In this role you will:

 

  • Responsible for creating automated test scripts, conducting software testing, and collaborating with software developers to identify and address defects. You will play a key role in ensuring the quality and reliability of software products.
  • Developing and designing new software systems by reviewing, repairing, maintaining and testing systems to improve business operations. They focus on performing analysis and research to determine the weakness and strength of existing systems.
  • Focuses on the design, implementation, and optimization of automated systems within a variety of industries.
  • Create test cases and scripts for manual and automated testing based on project requirements. Design and develop automation scripts using appropriate tools and frameworks. Review and verify test cases and scripts for quality standards.
  • Guide a team of QA specialist and work hands on in developing framework and mapping specs using best practices that will meet the demanding performance requirements
  • Use their advanced technical knowledge to support their claims and answer clients' questions about the proposed changes.
  • Provide end-to-end business/technical guidance and expertise on data integrity and referential integrity across LOBs
  • Defining Use Case Scenarios and validate the scenarios

 

Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have:

 

  • 10+ years of experience in data analysis, performance optimization for large OLTP applications
  • Knowledge of Wealth Industry – Retail/Wealth, IIROC-CRM guidelines, CRA guidelines
  • Oral and written communication skills.
  • Interpersonal and consultative skills.
  • Facilitation skills.
  • Analytical thinking and problem solving.
  • Being detail-oriented and capable of delivering a high level of accuracy.
  • Organizational skills.
  • Knowledge of business structure.
  • Stakeholder analysis.
  • Expertise knowledge of Hadoop HDFS, Hive, Pig, Flume and Sqoop.
  • Working Experience with Google Cloud Platform Databases (SQL, Spanner, PostgreSQL)
  • Experience working with relational/NoSQL databases
  • Experience with data streaming and technologies such as Kafka, Spark-streaming etc.

 

What's in it for you?

 

  • Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.
  • Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.  
  • Upskilling through online courses, cross-functional development opportunities, and tuition assistance. 
  • Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.
  • Dynamic Ecosystem - Free tea & coffee, universal washrooms, and lots of space for team collaboration.
  • Community Engagement - We offer opportunities for community engagement & belonging with our various programs such as hackathons, contests, cooking with friends, Humans of Digital and much more!

 

Location(s):  Canada : Ontario : Toronto 

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.  

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our  Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

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Toronto, ON, CA, M5H 1A1

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